Extract study design and generate analysis code for database replication.
npx skills add https://github.com/Aperivue/medsci-skills --skill replicate-study
Please help me install this Agent Skill. Skill: replicate-study Source: https://github.com/Aperivue/medsci-skills/tree/main/skills/replicate-study Command: npx skills add https://github.com/Aperivue/medsci-skills --skill replicate-study
Replicate-study enables researchers to transplant a published study methodology to a different database by extracting study design, mapping variables via a harmonization table, generating analysis code, and creating a replication difference report.
Provide the source paper, target database path, and optional harmonization table, then invoke the replication workflow to generate outputs.
High-intent search queries and answers about installing and using this skill.
To replicate a published study, you provide the source paper, a target database path, and an optional harmonization file. The workflow extracts the study design, maps variables, generates analysis code, and creates a replication difference report.
Variable harmonization is the process of mapping variables from a source paper to a target database via a harmonization table. It ensures that exposure, outcomes, and covariates align correctly for accurate cohort analysis in the new database.
Yes, study replication generates reproducible analysis scripts in both Python and R. The workflow produces analysis_code.py and analysis_code.R to execute the transplanted methodology on your target database.
Source paper analysis accepts PDF, DOI, or markdown file formats as input. You provide the source paper along with a target database path to initiate the extraction of study design and variable mapping.
The study replication workflow generates a structured replication_report.md, variable_mapping.csv, analysis_code.py/R scripts, and a results directory containing the complete replication artifacts for your target database.
A harmonization table is an optional input for variable mapping during study replication. Providing it helps guide the accurate mapping of exposure, outcomes, and covariates from the source paper to the target database.
CmochanceConvert academic papers from PDF, DOI, or HTML into bilingual Markdown reading artifacts.
pedrohcgsExecute end-to-end R data analysis workflows with reproducible outputs.
sncollectiveDetect performance issues in SNC codebase queries, layout, loading, and bundles.
omicverseCombines cohort microbiome AnnData objects into a cross-cohort meta-analysis table with genus-level harmonization and I2 heterogeneity assessment.
